---
title: "Who cites Generating Tailored, Comparative — 10 citing papers"
description: "10 papers of the Elamur Research library cite «Generating Tailored, Comparative Descriptions with Contextually Appropriate Intonation»…"
canonical: "https://research.elamur.ai/free/en/papers/white-2010-generating-tailored-comparative-descriptions-contextually/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Generating Tailored, Comparative Descriptions…](https://md.research.elamur.ai/free/en/papers/white-2010-generating-tailored-comparative-descriptions-contextually/) / cited by

# Who cites «Generating Tailored, Comparative Descriptions with Contextually Appropriate Intonation»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Generating Tailored, Comparative Descriptions with Contextually Appropriate Intonation»](https://md.research.elamur.ai/free/en/papers/white-2010-generating-tailored-comparative-descriptions-contextually/)

1. **[Computational Generation of Referring Expressions: A Survey](https://md.research.elamur.ai/free/en/papers/krahmer-2012-computational-generation-referring-expressions-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Emiel Krahmer, Kees van Deemter*2012 · 433 citations*
2. **[Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/balakrishnan-2019-constrained-decoding-neural-nlg-compositional/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, et al.*2019 · 133 citations*

8 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/white-2010-generating-tailored-comparative-descriptions-contextually/) — Generating Tailored, Comparative Descriptions with Contextually Appropriate Intonation